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Record W4383067053 · doi:10.3138/cmlr-2022-0068

Un modèle d’enseignement axé sur les stratégies d’écriture et adapté pour favoriser une pratique culturellement durable

2023· article· en· W4383067053 on OpenAlexaffvenueabout
Martine Cavanagh, Émilie Lavoie

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPerspective (graphical)PedagogySociologySocial constructivismPsychologyHumanitiesComputer scienceArt

Abstract

fetched live from OpenAlex

According to programs of study for the teaching of French in Canada, students must learn to write various genres of texts, thinking about their intention and mobilizing various writing strategies. This objective poses a significant challenge for students from the Francophone linguistic minority community. Moreover, certain current teaching practices tend to reinforce the linguistic insecurity of these students, impede the development of their ability to write, marginalizing minoritized students by favouring dominant repertoires. This observation leads us to rethink our practices to promote written discourse that develops students’ confidence in their skills as writers. The article presents a teaching model that devotes significant attention to writing strategies and that has been adapted to better respond to the needs of a diverse population. The choice of these components draws on research conducted in the following fields: editorial expertise from a cognitive psychology perspective, discourse analysis, social constructivism, teaching practices and culturally sustainable pedagogy. The article ends with practical recommendations for teachers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.276
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicWriting and Handwriting EducationFrench-language works237,207